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Simple dynamic cell culture system reduces recording noise in microelectrode array recordings.

Darius Hoven1, Misaki Inaoka1, Reece McCoy2

  • 1Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, CB3 0FA UK.

MRS Communications
|July 5, 2024
PubMed
Summary

This study introduces a novel fluidic system for microelectrode arrays (MEAs) to reduce recording noise. The system enables dynamic cell culture, improving electrophysiology measurements in drug discovery and research.

Keywords:
BioelectronicBiomedicalDevicesFluidicsMicroelectronicsMicroscale

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Area of Science:

  • Electrophysiology
  • Biomedical Engineering
  • Cell Culture Technology

Background:

  • Microelectrode arrays (MEAs) are crucial for studying tissue electrophysiology in drug discovery and toxicology.
  • Manual chemical addition to cell cultures on MEAs introduces significant experimental noise, limiting data accuracy.
  • Current methods lack a streamlined approach for dynamic stimulation and recording in MEA-based assays.

Purpose of the Study:

  • To develop and validate a simple, low-noise fluidic system for cell culture on MEAs.
  • To demonstrate the feasibility of establishing stable cell cultures under continuous flow within the fluidic system.
  • To assess the impact of the fluidic system on the quality of electrophysiological recordings during chemical stimulation.

Main Methods:

  • Fabrication of a custom microfluidic device compatible with standard MEA platforms.
  • Establishment and maintenance of tissue cultures within the fluidic compartment under continuous perfusion.
  • Application of biochemical stimuli through the fluidic system and simultaneous electrophysiological recording using MEAs.

Main Results:

  • Successful long-term culture of cells within the fluidic system under continuous flow conditions.
  • Demonstration that chemical additions via the fluidic system introduce minimal recording noise compared to manual methods.
  • Improved signal-to-noise ratio in electrophysiological recordings from cultures within the dynamic fluidic system.

Conclusions:

  • The developed fluidic system effectively minimizes noise associated with chemical stimulation in MEA recordings.
  • This dynamic cell culture approach enhances the reliability and precision of electrophysiology measurements.
  • The system offers a significant advancement over traditional static culture methods for MEA-based research and drug screening.